Flight trajectory prediction of unmanned aerial vehicles (UAVs) is essential for air traffic control. Automatic dependent surveillance-broadcast (ADS-B) has been widely used in civil aviation aircraft. However, effective trajectory prediction mechanisms and sufficient data sources for ADS-B information are still lacking specifically for UAVs. This paper proposes a deep learning-based flight trajectory prediction framework using the neural hierarchical interpolation for time series (N-HITS). This framework includes ADS-B flight trajectory data generation, flight trajectory data processing, and N-HITS prediction neural network. Comparative results with existing methods like Gaussian process regression (GPR) and long short-term memory (LSTM) network indicate that the proposed framework has better generalization ability, prediction accuracy, and stability.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Deep Learning-Based Flight Trajectory Prediction Using Time Series Decomposition


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Yan, Liang (editor) / Duan, Haibin (editor) / Deng, Yimin (editor) / Liu, Yue (author) / Sun, Jing (author) / Dong, Wei (author) / Zhang, Lele (author) / Wang, Chunyan (author) / Deng, Fang (author)

    Conference:

    International Conference on Guidance, Navigation and Control ; 2024 ; Changsha, China August 09, 2024 - August 11, 2024



    Publication date :

    2025-03-11


    Size :

    10 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Phased Flight Trajectory Prediction with Deep Learning

    Zhang, Kai / Chen, Bowen | ArXiv | 2022

    Free access

    Deep Reinforcement Learning based Aggressive Flight Trajectory Tracker

    Shadeed, Omar / Hasanzade, Mehmet / Koyuncu, Emre | AIAA | 2021


    DEEP REINFORCEMENT LEARNING BASED AGGRESSIVE FLIGHT TRAJECTORY TRACKER

    Shadeed, Omar / Hasanzade, Mehmet / Koyuncu, Emre | TIBKAT | 2021


    Deep Learning Based Missile Trajectory Prediction

    Wang, Zijian / Zhang, Jinze / Wei, Wei | IEEE | 2020


    Trajectory Flight-Time Prediction based on Machine Learning for Unmanned Traffic Management

    Conte, Claudia / Accardo, Domenico / Rufino, Giancarlo | IEEE | 2020